The RAW benchmark suite: computation structures for general purposecomputing
Babb, J.; Frank, M.; Lee, V.; Waingold, E.; Barua, R.; Taylor, M.; Kim, J.; Devabhaktuni, S.; Agarwal, A.
FPGAs for Custom Computing Machines, 1997. Proceedings., The 5th Annual IEEE Symposium on
Volume , Issue , 16-18 Apr 1997 Page(s):134 - 143
Digital Object Identifier 10.1109/FPGA.1997.624613
Summary:The RAW benchmark suite consists of twelve programs designed to
facilitate comparing, validating, and improving reconfigurable computing
systems. These benchmarks run the gamut of algorithms found in general
purpose computing, including sorting, matrix operations, and graph
algorithms. The suite includes an architecture-independent compilation
framework, Raw Computation Structures (RawCS), to express each
algorithm's dependencies and to support automatic synthesis,
partitioning, and mapping to a reconfigurable computer. Within this
framework, each benchmark is portably designed in both C and Behavioral
Verilog and scalably parameterized to consume a range of hardware
resource capacities. To establish initial benchmark ratings, we have
targeted a commercial logic emulation system based on virtual wires
technology to automatically generate designs up to millions of gates (14
to 379 FPGAs). Because the virtual wires techniques abstract away
machine-level details like FPGA capacity and interconnect, our hardware
target for this system is an abstract reconfigurable logic fabric with
memory-mapped host I/O. We report initial speeds in the range of 2X to
1800X faster than a 2.82 SPECint95 SparcStation 20 and encourage others
in the field to run these benchmarks on other systems to provide a
standard comparison
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